Effect of Temperature on Characteristic of Carbon Nanotube Nano-Composite Electrode Supercapacitor
Bibliographic record
Abstract
In order to evaluate the effect of temperature on the performance of supercapacitor using coconut shell activated carbon (AC)/carbon nanotubes (CNTs) as nano-composite electrodes, the supercapacitor’s properties were tested in 4mol L -1 KOH solution at 35℃~60℃.The results indicated, when temperature increased from 35℃ to 60℃, the resistance decreased from 0.83Ω to 0.78Ω by 6% and the capacitance increased from 93.32F g -1 to 104.36F g -1 by 11.8%. It was the contribution of high conductivity and the end open ration of CNTs. These results indicated that CNTs-based nano-composite electrode had good performance at high moderate temperature, and would be a promising material for use in low-cost electrical energy storage device.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".